High-dimensional statistical models arise when the number of candidate predictors greatly exceeds the number of observations, a setting common in genomics, neuroimaging and finance. Group variable ...
Advances in genomic technologies have ushered in an era of high-throughput data, in which the number of measured gene features often far exceeds the number of samples. This high-dimensional setting ...
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